A FRACTIONAL ORDER SEIR MODEL WITH DENSITY DEPENDENT DEATH RATE
|
|
- Gertrude Dorsey
- 5 years ago
- Views:
Transcription
1 Hacettepe Journal of Mathematics and Statistics Volume 4(2) (211), A FRACTIONAL ORDER SEIR MODEL WITH DENSITY DEPENDENT DEATH RATE Elif Demirci, Arzu Unal and Nuri Özalp Received 21:6 :21 : Accepted 2 :1 :21 Abstract In this paper, we introduce a fractional order SEIR epidemic model with vertical transmission, where the death rate of the population is density dependent, i.e., dependent on the population size. It is also assumed that there exists an infection related death rate. We show the existence of nonnegative solutions of the model, and also give a detailed stability analysis of disease free and positive fixed points. A numerical example is also presented. Keywords: Fractional derivative, Initial value problem, SEIR model, Stability, Numerical solution. 21 AMS Classification: Primary: 5 C 38, 15 A 15. Secondary: 5 A 15, 15 A Introduction Communicated by Bulent Karasözen Mathematical modeling in epidemiology provides new aspects in understanding the spread of diseases, and it suggests control strategies [3]. One of the early models in epidemiology was introduced in 1927 [9] to predict the spreading behaviour of a disease. Since then, many epidemic models have been derived [8]. In [7] a detailed analysis for integer order SEIR models with vertical transmission within a constant population can be found. There are also several papers [12, 13] about epidemic models within a nonconstant population, which is more realistic. Although a large number of works has been done on modeling the dynamics of epidemiological diseases, it has been restricted to integer order (delay) differential equations. In recent years, it has turned out that many phenomena in different fields can be described very successfully by the models using fractional order differential equations [1,2,4,6]. Ankara University, Faculty of Sciences, Department of Mathematics, 61 Besevler, Ankara, Turkey. (E. Demirci) edemirci@science.ankara.edu.tr (A. Unal) aogun@science.ankara.edu.tr (N. Özalp) nozalp@science.ankara.edu.tr Corresponding Author.
2 288 E. Demirci, A. Unal, N. Özalp In this paper, we first introduce a fractional order SEIR model with vertical transmission in a population with density dependent death rate. This gives a logistic growth in the population for a specific, more realistic death rate. We show the nonnegativeness of the solutions and also give a detailed stability analysis. Finally, numerical simulations are presented to illustrate the obtained results. We begin by giving the definitions of fractional order integrals and derivatives [15]. For fractional order differentiation, we will use Caputo s definition, due to its convenience for initial conditions of the differential equations Definition. The fractional integral of order α > for a function f : R + R is defined by I α f (t) = 1 Γ (α) t (t τ) α 1 f (τ) dτ, and the Caputo fractional derivative of order α (n 1, n) of f(t) is defined by D α f (t) = I n α D n f (t), with n 1 being the integer part of α and D = d/dt. Here and elsewhere, Γ denotes the Gamma function. Note that under natural conditions on the function f (t), for α n the Caputo derivative becomes the conventional derivative [15]. 2. Model derivation Many infectious diseases in nature have both horizontal and vertical transmission routes. These include such human diseases as Rubella, Herpes Simplex, Hepatitis B, Chagas, and the HIV/AIDS. Horizontal transmission of diseases among humans and animals, occurs through physical contact with hosts or through disease vectors like mosquitos, flies, etc. Vertical transmission is the transmission of an infection from parents to child during the perinatal period. The model that we study in this paper is a fractional order SEIR epidemic model with vertical transmission. The total host population N(t) is partitioned into four compartments which are susceptible, exposed, infectious and recovered, with sizes denoted by S(t), E(t), I(t) and R(t), respectively. Let b denote the natural birth rate of the population. The horizontal transmission of the disease is assumed to take place with direct contact between infectious and susceptible hosts with a transmission rate r, which means is the number of infections caused by all infected individuals per unit of time. For the vertical transmission of the disease, we assume that the offsprings of exposed and infectious classes are born into the exposed class with probabilities of p and q, respectively. We also assume that the natural death rate d(n) depends on the size of the population. For convenience, d is assumed to be a continuous and non decreasing function on R +, which does not contradict with biological phenomena. Also we assume that there exists a positive constant K which represents the carrying capacity of the population, and such that d (K) = b. We shall note that if d(n) is a linear function then the population has a logistic growth. r SI N These assumptions lead to the following system of differential equations of order α, with β, γ > being the rate that exposed individuals become infectious and the recovery
3 Fractional Order SEIR Model 289 rate, respectively, and θ is the infection related death rate: (2.1) (2.2) D α S = bn pbe qbi r SI N d(n)s, D α E = pbe + qbi + r SI βe d(n)e, N D α I = βe θi γi d(n)i, D α R = γi d(n)r, S () = S, E () = E, I () = I, R () = R, where < α 1, N = S + E + I + R, (S, E,I, R) R 4 +. The reason for considering a fractional order system instead of its integer order counterpart is that fractional order differential equations are generalizations of integer order differential equations. Also, using fractional order differential equations can help us to reduce the errors arising from the neglected parameters in modeling real life phenomena. We should note that the system (2.1) can be reduced to an integer order system by setting α = 1. Adding up the equations given in (2.1), we have (2.3) D α N = N(b d(n)) θi, which means the population size is not constant. 3. Non-negative solutions Let R 4 + = {X R 4 : X } and X (t) = (S (t),e (t),i (t), N (t)) T. For the proof of the theorem about non-negative solutions we shall need the following Lemma [14]: 3.1. Lemma. (Generalized Mean Value Theorem) Let f (x) C[a, b] and D α f (x) C(a,b] for < α 1. Then we have f (x) = f (a) + 1 Γ(α) Dα f (ξ) (x a) α with ξ x, x (a, b] Remark. Suppose f (x) C[, b] and D α f (x) C(, b] for < α 1. It is clear from the Lemma 3.1 that if D α f (x), x (, b), then the function f is nondecreasing, and if D α f (x), x (, b), then the function f is nonincreasing for all x [, b] Theorem. There is a unique solution for the initial value problem given by (2.1)- (2.2), and the solution remains in R 4 +. Proof. The existence and uniqueness of the solution of (2.1)-(2.2) in (, ) can be obtained from [1, Theorem 3.1 and Remark 3.2]. We need to show that the domain R 4 + is positively invariant. Since D α S S= = bn pbe qbi, D α E E= = qbi + r SI N, D α I I= = βe, D α R R= = γi, on each hyperplane bounding the nonnegative orthant, the vector field points into R 4 +.
4 29 E. Demirci, A. Unal, N. Özalp It is clear that N(t) also remains nonnegative. For convenience in calculations we consider the following system, which can be obtained from (2.1) and (2.3): (3.1) D α S = bn pbe qbi r SI N d(n)s, D α E = pbe + qbi + r SI βe d(n)e, N D α I = βe θi γi d(n)i, D α N = N(b d(n)) θi, with initial conditions (3.2) S () = S, E () = E, I () = I, N () = N. 4. Equilibrium points and stability Consider the initial value problem (3.1)-(3.2) with α satisfying < α 1. To evaluate the equilibrium points of (3.1), let D α S =, D α E =, D α I =, D α N =. Then the equilibrium points are F = (K,,, K) and F 1 = (S, E, I, N ), where S = (d(n ) + β pb)(d(n ) + θ + γ) qbβ (4.1) N rβ E = (d(n ) + θ + γ)(b d(n )) (4.2) N βθ I = b d(n ) (4.3) N. θ Here m := d(n ) is the positive root of the following equation: (4.4) (r θ)d 3 (N ) + [(r θ)(β + γ + θ) b(r pθ)]d 2 (N ) rbβγ + [β(r θ)(θ + γ) b(r pθ)(θ + γ) bβ(r qθ)] d(n ) =. Indeed, for r > θ one can show that (4.4) has only one positive root using Descartes rule of signs. The Jacobian matrix J(F ) for the system given by (3.1), evaluated at the disease free equilibrium is as follows: b pb qb r b d (K)K (4.5) J(F ) = (p 1)b β qb + r β b θ γ θ d (K)K 4.1. Theorem. Disease free equilibrium of the system (3.1) is asymptotically stable if β (qb + r) (b + β bp)(γ + θ + b) < 1. Proof. Disease free equilibrium is asymptotically stable if all of the eigenvalues, λ i, i = 1,2, 3,4, of J (F ) satisfy the following conditions [2,11]: (4.6) arg λ i > α π 2.
5 Fractional Order SEIR Model 291 These eigenvalues can be determined by solving the characteristic equation det(j(f ) λi) =. Thus, we have the following algebraic equation: where (λ + b)(λ + kd (k))[λ 2 + (A + B)λ + AB C] = A = b + θ + γ, B = b pb + β, C = β(qb + r). If AB > C, then the condition given by (4.6) is satisfied Remark. Consider the threshold value β (qb + r) R = (b + β bp)(γ + θ + b), which is the basic reproduction number of the system (3.1). The biological interpretation of R is that the disease will take off if R exceeds 1, and will die out if R is less than 1. We now discuss the asymptotic stability of the endemic (positive) equilibrium of the system given by (3.1). The Jacobian matrix J(F 1) evaluated at the endemic equilibrium is given by: where J(F 1) = B 1 = b m θ m rb 1 pb rb 2 B 3 b + (B 2 B 3 B 4 )(rb 1 d (N )N ) rb 1 rb 3 rb 2B 3 rb 1 (B 2B 3 B 4 ) B 1B 2d (N )N β βb 2 B 1 d (N )N θ b m d (N )N, B 2 = m + θ + γ β, B 3 = m + β pb, B 4 = qb r r. So, the characteristic equation of the linearized system is of the form (4.7) λ 4 + a 1λ 3 + a 2λ 2 + a 3λ + a 4 =, with a 1, a 2, a 3 and a 4 being a 1 = b + 2m + rb 1 + rb 3 + βb 2 + d (N )N a 2 = (mr rb + bpr)b 1 + β(2m b)b 2 + r(2m b)b 3 + [m + (r θ)b 1 + rb 3 + βb 2]d (N )N (4.8) + r 2 B 1B 3 bm + m 2 + rβb 1B 2 a 3 = (mrb 3 + bprb 1 + r 2 B 1B 3 + βb 2(m + rb 2) θb1(m rb 1) βθb 1B 2)d (N )N θb 1(prbB 1 + mβb 2 + mrb 3 + r 2 B 1B 3) + r(mβ bβ + bp)b 1B 2 + rθb 1(βB 4 + B 3) + rβ(r θ)b 1B 2B 3 a 4 = brβθb 1 θbβprb1b rβ(mr br mθ)b 1B 2B 3 + mrβθb 1B 4[ bprθb1 2 + β(bpr mθ rθb 1)B 1B 2 + rθ(m rb 1)B 1B 3 + rβθb 1B 4 + rβ(r θ)b 1B 2B 3]d (N )N
6 292 E. Demirci, A. Unal, N. Özalp 4.3. Theorem. Let a 4 be as given in (4.8). If a 4 < then the positive equilibrium point F 1 of the system (3.1) is unstable. Proof. If a 4 <, from Descartes rule of signs it is clear that the characteristic equation (4.7) has at least one positive real root. So, the equilibrium point F 1 of the system (3.1) is unstable. 5. Numerical methods and simulations For the numerical solutions of a system of fractional differential equations, using an Adam s-type predictor corrector method is appropriate [5]. For the parameters (5.1) b =.1555, p =.8, q =.95, r =.5, β =.5, θ =.2, γ =.3, d (N) = N with the initial conditions (5.2) S () = 14, E () =.1, I () =.2, N () = 141, there exists a positive fixed point S = , E = , I = 36.6, N = for IVP (3.1) (3.2). The approximate solutions S(t), E(t), I(t) and N(t) are displayed in Figures 1 4 for α = 1,.95, Concluding Remarks We have formulated and analysed an SEIR model with vertical transmission within a population having a density dependent death rate. We have obtained a stability condition for disease free equilibrium, and a nonstability condition for positive equilibrium. We have also given a numerical example and verified our results. Figure 1. Size of the suspended class over time for system (3.1) with parameters (5.1) and initial conditions (5.2) for different values of α 15 1 alpha 1 alpha.95 alpha.9 Suspended t
7 Fractional Order SEIR Model 293 Figure 2. Size of the exposed class over time for system (3.1) with parameters (5.1) and initial conditions (5.2) for different values of α alpha 1 alpha.95 alpha.9 Exposed t Figure 3. Size of the infectious class over time for system (3.1) with parameters (5.1) and initial conditions (5.2) for different values of α 1 8 alpha 1 alpha.95 alpha.9 Infectious t
8 294 E. Demirci, A. Unal, N. Özalp Figure 4. Size of the total population over time for system (3.1) with parameters (5.1) and initial conditions (5.2) for different values of α 15 1 N 5 alpha 1 alpha.95 alpha t We should note that although the equilibrium points are the same for both integer order and fractional order models, the solution of the fractional order model tends to the fixed point over a longer period of time. We also need to mention that when dealing with real life problems, the order of the system can be determined by using the collected data. References [1] Ahmed, E., El-Sayed, A.M.A. and El-Saka, H. A.A. On some Routh Hurwitz conditions for fractional order differential equations and their applications in Lorenz, Rössler, Chua and Chen systems, Physics Letters A 358, 1 4, 26. [2] Ahmed, E., El-Sayed, A.M.A. and El-Saka, H.A.A. Equilibrium points, stability and numerical solutions of fractional-order predator prey and rabies models, JMAA 325, , 27. [3] Brauer, F. and Castillo-Chavez, C. Mathematical Models in Population Biology and Epidemiology (Springer-Verlag, New York, 21). [4] Debnath, L. Recent applications of fractional calculus to science and engineering, IJMMS 54, , 23. [5] Diethelm, K, Ford, N.J. and Freed, A.D. A predictor-corrector approach for the numerical solution of fractional differential equations, Nonlinear Dynamics 29, 3 22, 22. [6] Ding, Y. and Ye, H. A Fractional-order differential equation model of HIV infection of CD4 + T-cells, Mathematical and Computer Modeling 5, , 29. [7] El-Sheikh, M. M. A. and El-Marouf, S. A. A. On stability and bifurcation of solutions of an SEIR epidemic model with vertical transmission, IJMMS 56, , 24. [8] Hethcote, H. The mathematics of infectious diseases, SIAM Reviews 43(4), , 2. [9] Kermack, W. O. and McKendrick, A. G. Contributions to the mathematical theory of epidemics, Bulletin of Mathematical Biology 53, 33 55, [1] Lin, W. Global existence theory and chaos control of fractional differential equations, JMAA 332, , 27.
9 Fractional Order SEIR Model 295 [11] Matignon, D. Stability results for fractional differential equations with applications to control processing, in: Computational Eng. in Sys. Appl. 2 (Lille, France, 1996), p 963. [12] McCormack, R. K. and Allen, L. J. S. Disease emergence in multi-host epidemic models, Math. Medicine and Biology 24, 17 34, 27. [13] Ngwa, G. A. and Shu, W.S. A mathematical model for endemic malaria with variable human and mosquito populations, Mathematical and Computer Modelling 32(7-8), , 2. [14] Odibat, Z. M. and Shawagfeh, N. T. Generalized Taylor s formula, Applied Mathematics and Computation 186, , 27. [15] Podlubny, I. Fractional Differential Equations (Academic Press, London, 1999).
A New Mathematical Approach for. Rabies Endemy
Applied Mathematical Sciences, Vol. 8, 2014, no. 2, 59-67 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2014.39525 A New Mathematical Approach for Rabies Endemy Elif Demirci Ankara University
More informationThe Fractional-order SIR and SIRS Epidemic Models with Variable Population Size
Math. Sci. Lett. 2, No. 3, 195-200 (2013) 195 Mathematical Sciences Letters An International Journal http://dx.doi.org/10.12785/msl/020308 The Fractional-order SIR and SIRS Epidemic Models with Variable
More informationFractional Calculus Model for Childhood Diseases and Vaccines
Applied Mathematical Sciences, Vol. 8, 2014, no. 98, 4859-4866 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2014.4294 Fractional Calculus Model for Childhood Diseases and Vaccines Moustafa
More informationOn Local Asymptotic Stability of q-fractional Nonlinear Dynamical Systems
Available at http://pvamuedu/aam Appl Appl Math ISSN: 1932-9466 Vol 11, Issue 1 (June 2016), pp 174-183 Applications and Applied Mathematics: An International Journal (AAM) On Local Asymptotic Stability
More informationIntroduction to SEIR Models
Department of Epidemiology and Public Health Health Systems Research and Dynamical Modelling Unit Introduction to SEIR Models Nakul Chitnis Workshop on Mathematical Models of Climate Variability, Environmental
More informationOn the fractional-order logistic equation
Applied Mathematics Letters 20 (2007) 817 823 www.elsevier.com/locate/aml On the fractional-order logistic equation A.M.A. El-Sayed a, A.E.M. El-Mesiry b, H.A.A. El-Saka b, a Faculty of Science, Alexandria
More informationMathematical Analysis of Epidemiological Models: Introduction
Mathematical Analysis of Epidemiological Models: Introduction Jan Medlock Clemson University Department of Mathematical Sciences 8 February 2010 1. Introduction. The effectiveness of improved sanitation,
More informationStability of SEIR Model of Infectious Diseases with Human Immunity
Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 13, Number 6 (2017), pp. 1811 1819 Research India Publications http://www.ripublication.com/gjpam.htm Stability of SEIR Model of Infectious
More informationA Fractional-Order Model for Computer Viruses Propagation with Saturated Treatment Rate
Nonlinear Analysis and Differential Equations, Vol. 4, 216, no. 12, 583-595 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/1.12988/nade.216.687 A Fractional-Order Model for Computer Viruses Propagation
More informationEquilibrium points, stability and numerical solutions of fractional-order predator prey and rabies models
J. Math. Anal. Appl. 325 (2007) 542 553 www.elsevier.com/locate/jmaa Equilibrium points, stability and numerical solutions of fractional-order predator prey and rabies models E. Ahmed a, A.M.A. El-Sayed
More informationResearch Article Nonlinear Dynamics and Chaos in a Fractional-Order HIV Model
Mathematical Problems in Engineering Volume 29, Article ID 378614, 12 pages doi:1.1155/29/378614 Research Article Nonlinear Dynamics and Chaos in a Fractional-Order HIV Model Haiping Ye 1, 2 and Yongsheng
More informationFractional Order Model for the Spread of Leptospirosis
International Journal of Mathematical Analysis Vol. 8, 214, no. 54, 2651-2667 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/1.12988/ijma.214.41312 Fractional Order Model for the Spread of Leptospirosis
More informationDelay SIR Model with Nonlinear Incident Rate and Varying Total Population
Delay SIR Model with Nonlinear Incident Rate Varying Total Population Rujira Ouncharoen, Salinthip Daengkongkho, Thongchai Dumrongpokaphan, Yongwimon Lenbury Abstract Recently, models describing the behavior
More informationON FRACTIONAL ORDER CANCER MODEL
Journal of Fractional Calculus and Applications, Vol.. July, No., pp. 6. ISSN: 9-5858. http://www.fcaj.webs.com/ ON FRACTIONAL ORDER CANCER MODEL E. AHMED, A.H. HASHIS, F.A. RIHAN Abstract. In this work
More informationQualitative Analysis of a Discrete SIR Epidemic Model
ISSN (e): 2250 3005 Volume, 05 Issue, 03 March 2015 International Journal of Computational Engineering Research (IJCER) Qualitative Analysis of a Discrete SIR Epidemic Model A. George Maria Selvam 1, D.
More informationBehavior Stability in two SIR-Style. Models for HIV
Int. Journal of Math. Analysis, Vol. 4, 2010, no. 9, 427-434 Behavior Stability in two SIR-Style Models for HIV S. Seddighi Chaharborj 2,1, M. R. Abu Bakar 2, I. Fudziah 2 I. Noor Akma 2, A. H. Malik 2,
More informationThe Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete-Time
Applied Mathematics, 05, 6, 665-675 Published Online September 05 in SciRes http://wwwscirporg/journal/am http://dxdoiorg/046/am056048 The Dynamic Properties of a Deterministic SIR Epidemic Model in Discrete-Time
More informationMATHEMATICAL MODELS Vol. III - Mathematical Models in Epidemiology - M. G. Roberts, J. A. P. Heesterbeek
MATHEMATICAL MODELS I EPIDEMIOLOGY M. G. Roberts Institute of Information and Mathematical Sciences, Massey University, Auckland, ew Zealand J. A. P. Heesterbeek Faculty of Veterinary Medicine, Utrecht
More informationThursday. Threshold and Sensitivity Analysis
Thursday Threshold and Sensitivity Analysis SIR Model without Demography ds dt di dt dr dt = βsi (2.1) = βsi γi (2.2) = γi (2.3) With initial conditions S(0) > 0, I(0) > 0, and R(0) = 0. This model can
More informationGlobal Stability of a Computer Virus Model with Cure and Vertical Transmission
International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Volume 3, Issue 1, January 016, PP 16-4 ISSN 349-4840 (Print) & ISSN 349-4859 (Online) www.arcjournals.org Global
More informationSTABILITY ANALYSIS OF A GENERAL SIR EPIDEMIC MODEL
VFAST Transactions on Mathematics http://vfast.org/index.php/vtm@ 2013 ISSN: 2309-0022 Volume 1, Number 1, May-June, 2013 pp. 16 20 STABILITY ANALYSIS OF A GENERAL SIR EPIDEMIC MODEL Roman Ullah 1, Gul
More informationA Note on the Spread of Infectious Diseases. in a Large Susceptible Population
International Mathematical Forum, Vol. 7, 2012, no. 50, 2481-2492 A Note on the Spread of Infectious Diseases in a Large Susceptible Population B. Barnes Department of Mathematics Kwame Nkrumah University
More informationSIR Epidemic Model with total Population size
Advances in Applied Mathematical Biosciences. ISSN 2248-9983 Volume 7, Number 1 (2016), pp. 33-39 International Research Publication House http://www.irphouse.com SIR Epidemic Model with total Population
More informationA NEW SOLUTION OF SIR MODEL BY USING THE DIFFERENTIAL FRACTIONAL TRANSFORMATION METHOD
April, 4. Vol. 4, No. - 4 EAAS & ARF. All rights reserved ISSN35-869 A NEW SOLUTION OF SIR MODEL BY USING THE DIFFERENTIAL FRACTIONAL TRANSFORMATION METHOD Ahmed A. M. Hassan, S. H. Hoda Ibrahim, Amr M.
More informationFractional Order SIR Model with Constant Population
British Journal of Mathematics & Computer Science 14(2): 1-12, 2016, Article no.bjmcs.23017 ISSN: 2231-0851 SCIENCEDOMAIN international www.sciencedomain.org Fractional Order SIR Model with Constant Population
More informationMathematical Modeling and Analysis of Infectious Disease Dynamics
Mathematical Modeling and Analysis of Infectious Disease Dynamics V. A. Bokil Department of Mathematics Oregon State University Corvallis, OR MTH 323: Mathematical Modeling May 22, 2017 V. A. Bokil (OSU-Math)
More informationDynamics of Disease Spread. in a Predator-Prey System
Advanced Studies in Biology, vol. 6, 2014, no. 4, 169-179 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/asb.2014.4845 Dynamics of Disease Spread in a Predator-Prey System Asrul Sani 1, Edi Cahyono
More informationModelling of the Hand-Foot-Mouth-Disease with the Carrier Population
Modelling of the Hand-Foot-Mouth-Disease with the Carrier Population Ruzhang Zhao, Lijun Yang Department of Mathematical Science, Tsinghua University, China. Corresponding author. Email: lyang@math.tsinghua.edu.cn,
More information(mathematical epidemiology)
1. 30 (mathematical epidemiology) 2. 1927 10) * Anderson and May 1), Diekmann and Heesterbeek 3) 7) 14) NO. 538, APRIL 2008 1 S(t), I(t), R(t) (susceptibles ) (infectives ) (recovered/removed = βs(t)i(t)
More informationResearch Article A Delayed Epidemic Model with Pulse Vaccination
Hindawi Publishing Corporation Discrete Dynamics in Nature and Society Volume 2008, Article ID 746951, 12 pages doi:10.1155/2008/746951 Research Article A Delayed Epidemic Model with Pulse Vaccination
More informationMathematical Epidemiology Lecture 1. Matylda Jabłońska-Sabuka
Lecture 1 Lappeenranta University of Technology Wrocław, Fall 2013 What is? Basic terminology Epidemiology is the subject that studies the spread of diseases in populations, and primarily the human populations.
More informationA comparison of delayed SIR and SEIR epidemic models
Nonlinear Analysis: Modelling and Control, 2011, Vol. 16, No. 2, 181 190 181 A comparison of delayed SIR and SEIR epidemic models Abdelilah Kaddar a, Abdelhadi Abta b, Hamad Talibi Alaoui b a Université
More informationSimple Mathematical Model for Malaria Transmission
Journal of Advances in Mathematics and Computer Science 25(6): 1-24, 217; Article no.jamcs.37843 ISSN: 2456-9968 (Past name: British Journal of Mathematics & Computer Science, Past ISSN: 2231-851) Simple
More informationGlobal Analysis of an Epidemic Model with Nonmonotone Incidence Rate
Global Analysis of an Epidemic Model with Nonmonotone Incidence Rate Dongmei Xiao Department of Mathematics, Shanghai Jiaotong University, Shanghai 00030, China E-mail: xiaodm@sjtu.edu.cn and Shigui Ruan
More informationThe dynamics of disease transmission in a Prey Predator System with harvesting of prey
ISSN: 78 Volume, Issue, April The dynamics of disease transmission in a Prey Predator System with harvesting of prey, Kul Bhushan Agnihotri* Department of Applied Sciences and Humanties Shaheed Bhagat
More informationStability Analysis and Numerical Solution for. the Fractional Order Biochemical Reaction Model
Nonlinear Analysis and Differential Equations, Vol. 4, 16, no. 11, 51-53 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/1.1988/nade.16.6531 Stability Analysis and Numerical Solution for the Fractional
More informationStability Analysis of an SVIR Epidemic Model with Non-linear Saturated Incidence Rate
Applied Mathematical Sciences, Vol. 9, 215, no. 23, 1145-1158 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/1.12988/ams.215.41164 Stability Analysis of an SVIR Epidemic Model with Non-linear Saturated
More informationConstruction of a New Fractional Chaotic System and Generalized Synchronization
Commun. Theor. Phys. (Beijing, China) 5 (2010) pp. 1105 1110 c Chinese Physical Society and IOP Publishing Ltd Vol. 5, No. 6, June 15, 2010 Construction of a New Fractional Chaotic System and Generalized
More informationResilience and stability of harvested predator-prey systems to infectious diseases in the predator
Resilience and stability of harvested predator-prey systems to infectious diseases in the predator Morgane Chevé Ronan Congar Papa A. Diop November 1, 2010 Abstract In the context of global change, emerging
More informationMODELING THE SPREAD OF DENGUE FEVER BY USING SIR MODEL. Hor Ming An, PM. Dr. Yudariah Mohammad Yusof
MODELING THE SPREAD OF DENGUE FEVER BY USING SIR MODEL Hor Ming An, PM. Dr. Yudariah Mohammad Yusof Abstract The establishment and spread of dengue fever is a complex phenomenon with many factors that
More informationGLOBAL DYNAMICS OF A MATHEMATICAL MODEL OF TUBERCULOSIS
CANADIAN APPIED MATHEMATICS QUARTERY Volume 13, Number 4, Winter 2005 GOBA DYNAMICS OF A MATHEMATICA MODE OF TUBERCUOSIS HONGBIN GUO ABSTRACT. Mathematical analysis is carried out for a mathematical model
More informationAustralian Journal of Basic and Applied Sciences
AENSI Journals Australian Journal of Basic and Applied Sciences ISSN:1991-8178 Journal home page: www.ajbasweb.com A SIR Transmission Model of Political Figure Fever 1 Benny Yong and 2 Nor Azah Samat 1
More informationGLOBAL STABILITY OF SIR MODELS WITH NONLINEAR INCIDENCE AND DISCONTINUOUS TREATMENT
Electronic Journal of Differential Equations, Vol. 2015 (2015), No. 304, pp. 1 8. SSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu GLOBAL STABLTY
More informationA fractional order SIR epidemic model with nonlinear incidence rate
Mouaouine et al. Advances in Difference Equations 218 218:16 https://doi.org/1.1186/s13662-18-1613-z R E S E A R C H Open Access A fractional order SIR epidemic model with nonlinear incidence rate Abderrahim
More informationMathematical Model of Tuberculosis Spread within Two Groups of Infected Population
Applied Mathematical Sciences, Vol. 10, 2016, no. 43, 2131-2140 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2016.63130 Mathematical Model of Tuberculosis Spread within Two Groups of Infected
More informationThe Effect of Stochastic Migration on an SIR Model for the Transmission of HIV. Jan P. Medlock
The Effect of Stochastic Migration on an SIR Model for the Transmission of HIV A Thesis Presented to The Faculty of the Division of Graduate Studies by Jan P. Medlock In Partial Fulfillment of the Requirements
More informationHepatitis C Mathematical Model
Hepatitis C Mathematical Model Syed Ali Raza May 18, 2012 1 Introduction Hepatitis C is an infectious disease that really harms the liver. It is caused by the hepatitis C virus. The infection leads to
More informationAustralian Journal of Basic and Applied Sciences. Effect of Personal Hygiene Campaign on the Transmission Model of Hepatitis A
Australian Journal of Basic and Applied Sciences, 9(13) Special 15, Pages: 67-73 ISSN:1991-8178 Australian Journal of Basic and Applied Sciences Journal home page: wwwajbaswebcom Effect of Personal Hygiene
More informationLAW OF LARGE NUMBERS FOR THE SIRS EPIDEMIC
LAW OF LARGE NUMBERS FOR THE SIRS EPIDEMIC R. G. DOLGOARSHINNYKH Abstract. We establish law of large numbers for SIRS stochastic epidemic processes: as the population size increases the paths of SIRS epidemic
More informationMathematical modelling and controlling the dynamics of infectious diseases
Mathematical modelling and controlling the dynamics of infectious diseases Musa Mammadov Centre for Informatics and Applied Optimisation Federation University Australia 25 August 2017, School of Science,
More informationModels of Infectious Disease Formal Demography Stanford Summer Short Course James Holland Jones, Instructor. August 15, 2005
Models of Infectious Disease Formal Demography Stanford Summer Short Course James Holland Jones, Instructor August 15, 2005 1 Outline 1. Compartmental Thinking 2. Simple Epidemic (a) Epidemic Curve 1:
More informationDynamical Analysis of Plant Disease Model with Roguing, Replanting and Preventive Treatment
4 th ICRIEMS Proceedings Published by The Faculty Of Mathematics And Natural Sciences Yogyakarta State University, ISBN 978-62-74529-2-3 Dynamical Analysis of Plant Disease Model with Roguing, Replanting
More informationStability Analysis of a SIS Epidemic Model with Standard Incidence
tability Analysis of a I Epidemic Model with tandard Incidence Cruz Vargas-De-León Received 19 April 2011; Accepted 19 Octuber 2011 leoncruz82@yahoo.com.mx Abstract In this paper, we study the global properties
More informationMathematical Model of Vector-Borne Plant Disease with Memory on the Host and the Vector
Progr. Fract. Differ. Appl. 2, No. 4, 277-285 (2016 277 Progress in Fractional Differentiation and Applications An International Journal http://dx.doi.org/10.18576/pfda/020405 Mathematical Model of Vector-Borne
More informationStability and bifurcation analysis of epidemic models with saturated incidence rates: an application to a nonmonotone incidence rate
Published in Mathematical Biosciences and Engineering 4 785-85 DOI:.3934/mbe.4..785 Stability and bifurcation analysis of epidemic models with saturated incidence rates: an application to a nonmonotone
More informationStability of a Numerical Discretisation Scheme for the SIS Epidemic Model with a Delay
Stability of a Numerical Discretisation Scheme for the SIS Epidemic Model with a Delay Ekkachai Kunnawuttipreechachan Abstract This paper deals with stability properties of the discrete numerical scheme
More informationGLOBAL STABILITY OF THE ENDEMIC EQUILIBRIUM OF A TUBERCULOSIS MODEL WITH IMMIGRATION AND TREATMENT
CANADIAN APPLIED MATHEMATICS QUARTERLY Volume 19, Number 1, Spring 2011 GLOBAL STABILITY OF THE ENDEMIC EQUILIBRIUM OF A TUBERCULOSIS MODEL WITH IMMIGRATION AND TREATMENT HONGBIN GUO AND MICHAEL Y. LI
More informationDENSITY DEPENDENCE IN DISEASE INCIDENCE AND ITS IMPACTS ON TRANSMISSION DYNAMICS
CANADIAN APPLIED MATHEMATICS QUARTERLY Volume 19, Number 3, Fall 2011 DENSITY DEPENDENCE IN DISEASE INCIDENCE AND ITS IMPACTS ON TRANSMISSION DYNAMICS REBECCA DE BOER AND MICHAEL Y. LI ABSTRACT. Incidence
More informationReproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission P. van den Driessche a,1 and James Watmough b,2, a Department of Mathematics and Statistics, University
More informationApplications in Biology
11 Applications in Biology In this chapter we make use of the techniques developed in the previous few chapters to examine some nonlinear systems that have been used as mathematical models for a variety
More informationHETEROGENEOUS MIXING IN EPIDEMIC MODELS
CANADIAN APPLIED MATHEMATICS QUARTERLY Volume 2, Number 1, Spring 212 HETEROGENEOUS MIXING IN EPIDEMIC MODELS FRED BRAUER ABSTRACT. We extend the relation between the basic reproduction number and the
More informationIstván Faragó, Róbert Horváth. Numerical Analysis of Evolution Equations, Innsbruck, Austria October, 2014.
s István, Róbert 1 Eötvös Loránd University, MTA-ELTE NumNet Research Group 2 University of Technology Budapest, MTA-ELTE NumNet Research Group Analysis of Evolution Equations, Innsbruck, Austria 14-17
More informationIntroduction to Epidemic Modeling
Chapter 2 Introduction to Epidemic Modeling 2.1 Kermack McKendrick SIR Epidemic Model Introduction to epidemic modeling is usually made through one of the first epidemic models proposed by Kermack and
More informationSI j RS E-Epidemic Model With Multiple Groups of Infection In Computer Network. 1 Introduction. Bimal Kumar Mishra 1, Aditya Kumar Singh 2
ISSN 1749-3889 (print), 1749-3897 (online) International Journal of Nonlinear Science Vol.13(2012) No.3,pp.357-362 SI j RS E-Epidemic Model With Multiple Groups of Infection In Computer Network Bimal Kumar
More informationModelling the spread of bacterial infectious disease with environmental effect in a logistically growing human population
Nonlinear Analysis: Real World Applications 7 2006) 341 363 www.elsevier.com/locate/na Modelling the spread of bacterial infectious disease with environmental effect in a logistically growing human population
More informationAnalysis of Numerical and Exact solutions of certain SIR and SIS Epidemic models
Journal of Mathematical Modelling and Application 2011, Vol. 1, No. 4, 51-56 ISSN: 2178-2423 Analysis of Numerical and Exact solutions of certain SIR and SIS Epidemic models S O Maliki Department of Industrial
More informationNon-Linear Models Cont d: Infectious Diseases. Non-Linear Models Cont d: Infectious Diseases
Cont d: Infectious Diseases Infectious Diseases Can be classified into 2 broad categories: 1 those caused by viruses & bacteria (microparasitic diseases e.g. smallpox, measles), 2 those due to vectors
More informationMODELING AND ANALYSIS OF THE SPREAD OF CARRIER DEPENDENT INFECTIOUS DISEASES WITH ENVIRONMENTAL EFFECTS
Journal of Biological Systems, Vol. 11, No. 3 2003 325 335 c World Scientific Publishing Company MODELING AND ANALYSIS OF THE SPREAD OF CARRIER DEPENDENT INFECTIOUS DISEASES WITH ENVIRONMENTAL EFFECTS
More informationThe E ect of Occasional Smokers on the Dynamics of a Smoking Model
International Mathematical Forum, Vol. 9, 2014, no. 25, 1207-1222 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/imf.2014.46120 The E ect of Occasional Smokers on the Dynamics of a Smoking Model
More informationAvailable online at J. Math. Comput. Sci. 2 (2012), No. 6, ISSN:
Available online at http://scik.org J. Math. Comput. Sci. 2 (2012), No. 6, 1671-1684 ISSN: 1927-5307 A MATHEMATICAL MODEL FOR THE TRANSMISSION DYNAMICS OF HIV/AIDS IN A TWO-SEX POPULATION CONSIDERING COUNSELING
More informationMathematical Model for the Epidemiology of Fowl Pox Infection Transmission That Incorporates Discrete Delay
IOSR Journal of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume, Issue 4 Ver. V (Jul-Aug. 4), PP 8-6 Mathematical Model for the Epidemiology of Fowl Pox Infection Transmission That Incorporates
More informationAARMS Homework Exercises
1 For the gamma distribution, AARMS Homework Exercises (a) Show that the mgf is M(t) = (1 βt) α for t < 1/β (b) Use the mgf to find the mean and variance of the gamma distribution 2 A well-known inequality
More informationBifurcation Analysis in Simple SIS Epidemic Model Involving Immigrations with Treatment
Appl. Math. Inf. Sci. Lett. 3, No. 3, 97-10 015) 97 Applied Mathematics & Information Sciences Letters An International Journal http://dx.doi.org/10.1785/amisl/03030 Bifurcation Analysis in Simple SIS
More informationElectronic appendices are refereed with the text. However, no attempt has been made to impose a uniform editorial style on the electronic appendices.
This is an electronic appendix to the paper by Alun L. Lloyd 2001 Destabilization of epidemic models with the inclusion of realistic distributions of infectious periods. Proc. R. Soc. Lond. B 268, 985-993.
More informationAvailable online at Commun. Math. Biol. Neurosci. 2015, 2015:29 ISSN:
Available online at http://scik.org Commun. Math. Biol. Neurosci. 215, 215:29 ISSN: 252-2541 AGE-STRUCTURED MATHEMATICAL MODEL FOR HIV/AIDS IN A TWO-DIMENSIONAL HETEROGENEOUS POPULATION PRATIBHA RANI 1,
More informationEssential Ideas of Mathematical Modeling in Population Dynamics
Essential Ideas of Mathematical Modeling in Population Dynamics Toward the application for the disease transmission dynamics Hiromi SENO Research Center for Pure and Applied Mathematics Department of Computer
More informationMA 138 Calculus 2 for the Life Sciences Spring 2016 Final Exam May 4, Exam Scores. Question Score Total
MA 138 Calculus 2 for the Life Sciences Spring 2016 Final Exam May 4, 2016 Exam Scores Question Score Total 1 10 Name: Section: Last 4 digits of student ID #: No books or notes may be used. Turn off all
More informationM469, Fall 2010, Practice Problems for the Final
M469 Fall 00 Practice Problems for the Final The final exam for M469 will be Friday December 0 3:00-5:00 pm in the usual classroom Blocker 60 The final will cover the following topics from nonlinear systems
More informationSupplemental Information Population Dynamics of Epidemic and Endemic States of Drug-Resistance Emergence in Infectious Diseases
1 2 3 4 Supplemental Information Population Dynamics of Epidemic and Endemic States of Drug-Resistance Emergence in Infectious Diseases 5 Diána Knipl, 1 Gergely Röst, 2 Seyed M. Moghadas 3, 6 7 8 9 1 1
More informationThree Disguises of 1 x = e λx
Three Disguises of 1 x = e λx Chathuri Karunarathna Mudiyanselage Rabi K.C. Winfried Just Department of Mathematics, Ohio University Mathematical Biology and Dynamical Systems Seminar Ohio University November
More informationME 406 S-I-R Model of Epidemics Part 2 Vital Dynamics Included
ME 406 S-I-R Model of Epidemics Part 2 Vital Dynamics Included sysid Mathematica 6.0.3, DynPac 11.01, 1ê13ê9 1. Introduction Description of the Model In this notebook, we include births and deaths in the
More informationAustralian Journal of Basic and Applied Sciences. Effect of Education Campaign on Transmission Model of Conjunctivitis
ISSN:99-878 Australian Journal of Basic and Applied Sciences Journal home page: www.ajbasweb.com ffect of ducation Campaign on Transmission Model of Conjunctivitis Suratchata Sangthongjeen, Anake Sudchumnong
More informationA Mathematical Model for Transmission of Dengue
Applied Mathematical Sciences, Vol. 10, 2016, no. 7, 345-355 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2016.510662 A Mathematical Model for Transmission of Dengue Luis Eduardo López Departamento
More informationStability analysis of delayed SIR epidemic models with a class of nonlinear incidence rates
Published in Applied Mathematics and Computation 218 (2012 5327-5336 DOI: 10.1016/j.amc.2011.11.016 Stability analysis of delayed SIR epidemic models with a class of nonlinear incidence rates Yoichi Enatsu
More informationKasetsart University Workshop. Mathematical modeling using calculus & differential equations concepts
Kasetsart University Workshop Mathematical modeling using calculus & differential equations concepts Dr. Anand Pardhanani Mathematics Department Earlham College Richmond, Indiana USA pardhan@earlham.edu
More informationThe death of an epidemic
LECTURE 2 Equilibrium Stability Analysis & Next Generation Method The death of an epidemic In SIR equations, let s divide equation for dx/dt by dz/ dt:!! dx/dz = - (β X Y/N)/(γY)!!! = - R 0 X/N Integrate
More informationInfectious Disease Modeling with Interpersonal Contact Patterns as a Heterogeneous Network
Infectious Disease Modeling with Interpersonal Contact Patterns as a Heterogeneous Network by Joanna Boneng A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for
More informationGlobal Analysis of an SEIRS Model with Saturating Contact Rate 1
Applied Mathematical Sciences, Vol. 6, 2012, no. 80, 3991-4003 Global Analysis of an SEIRS Model with Saturating Contact Rate 1 Shulin Sun a, Cuihua Guo b, and Chengmin Li a a School of Mathematics and
More informationAn Analysis on the Fractional Asset Flow Differential Equations
Article An Analysis on the Fractional Asset Flow Differential Equations Din Prathumwan 1, Wannika Sawangtong 1,2 and Panumart Sawangtong 3, * 1 Department of Mathematics, Faculty of Science, Mahidol University,
More informationGlobal dynamics of a HIV transmission model
Acta Univ. Sapientiae, Mathematica, 2, 1 (2010) 39 46 Global dynamics of a HIV transmission model Sándor Kovács Department of Numerical Analysis, Eötvös Loránd University, H-1117 Budapest, Pázmány Péter
More informationThreshold Conditions in SIR STD Models
Applied Mathematical Sciences, Vol. 3, 2009, no. 7, 333-349 Threshold Conditions in SIR STD Models S. Seddighi Chaharborj 1,, M. R. Abu Bakar 1, V. Alli 2 and A. H. Malik 1 1 Department of Mathematics,
More informationGLOBAL STABILITY OF A VACCINATION MODEL WITH IMMIGRATION
Electronic Journal of Differential Equations, Vol. 2015 (2015), No. 92, pp. 1 10. SSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu GLOBAL STABLTY
More informationDYNAMICS OF A DELAY-DIFFUSION PREY-PREDATOR MODEL WITH DISEASE IN THE PREY
J. Appl. Math. & Computing Vol. 17(2005), No. 1-2, pp. 361-377 DYNAMICS OF A DELAY-DIFFUSION PREY-PREDATOR MODEL WITH DISEASE IN THE PREY B. MUHOPADHYAY AND R. BHATTACHARYYA Abstract. A mathematical model
More informationStochastic Model for the Spread of the Hepatitis C Virus with Different Types of Virus Genome
Australian Journal of Basic and Applied Sciences, 3(): 53-65, 009 ISSN 99-878 Stochastic Model for the Spread of the Hepatitis C Virus with Different Types of Virus Genome I.A. Moneim and G.A. Mosa, Department
More informationContinuous-time predator prey models with parasites
Journal of Biological Dynamics ISSN: 1751-3758 Print) 1751-3766 Online) Journal homepage: http://www.tandfonline.com/loi/tjbd20 Continuous-time predator prey models with parasites Sophia R.-J. Jang & James
More informationThe Existence and Stability Analysis of the Equilibria in Dengue Disease Infection Model
Journal of Physics: Conference Series PAPER OPEN ACCESS The Existence and Stability Analysis of the Equilibria in Dengue Disease Infection Model Related content - Anomalous ion conduction from toroidal
More informationSensitivity and Stability Analysis of Hepatitis B Virus Model with Non-Cytolytic Cure Process and Logistic Hepatocyte Growth
Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 12, Number 3 2016), pp. 2297 2312 Research India Publications http://www.ripublication.com/gjpam.htm Sensitivity and Stability Analysis
More informationAnalysis of SIR Mathematical Model for Malaria disease with the inclusion of Infected Immigrants
IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 14, Issue 5 Ver. I (Sep - Oct 218), PP 1-21 www.iosrjournals.org Analysis of SIR Mathematical Model for Malaria disease
More informationANALYSIS OF DIPHTHERIA DISSEMINATION BY USING MULTI GROUPS OF DYNAMIC SYSTEM METHOD APPROACH
ANALYSIS OF DIPHTHERIA DISSEMINATION BY USING MULTI GROUPS OF DYNAMIC SYSTEM METHOD APPROACH 1 NUR ASIYAH, 2 BASUKI WIDODO, 3 SUHUD WAHYUDI 1,2,3 Laboratory of Analysis and Algebra Faculty of Mathematics
More informationEpidemics in Two Competing Species
Epidemics in Two Competing Species Litao Han 1 School of Information, Renmin University of China, Beijing, 100872 P. R. China Andrea Pugliese 2 Department of Mathematics, University of Trento, Trento,
More information